On this page you can find the publication list of the Machine Learning and Perception Lab.
2020

Rita Pucci; Christian Micheloni; Gian Luca Foresti; Niki Martinel
Deep interactive encoding with capsule networks for image classification Journal Article
In: Multimedia Tools and Applications, 2020.
@article{Pucci2020,
title = {Deep interactive encoding with capsule networks for image classification},
author = {Rita Pucci; Christian Micheloni; Gian Luca Foresti; Niki Martinel },
doi = {https://doi.org/10.1007/s11042-020-09455-8},
year = {2020},
date = {2020-08-26},
journal = {Multimedia Tools and Applications},
abstract = {With new architectures providing astonishing performance on many vision tasks, the interest in Convolutional Neural Networks (CNNs) has grown exponentially in the recent past. Such architectures, however, are not problem-free. For instance, one of the many issues is that they require a huge amount of labeled data and are not able to encode pose and deformation information. Capsule Networks (CapsNets) have been recently proposed as a solution to the issues related to CNNs. CapsNet achieved interesting results in images recognition by addressing pose and deformation encoding challenges. Despite their success, CapsNets are still an under-investigated architecture with respect to the more classical CNNs. Following the ideas of CapsNet, we propose to introduce Residual Capsule Network (ResNetCaps) and Dense Capsule Network (DenseNetCaps) to tackle the image recognition problem. With these two architectures, we expand the encoding phase of CapsNet by adding residual convolutional and densely connected convolutional blocks. In addition to this, we investigate the application of feature interaction methods between capsules to promote their cooperation while dealing with complex data. Experiments on four benchmark datasets demonstrate that the proposed approach performs better than existing solutions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution Proceedings Article
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020.
@inproceedings{Umer_2020_CVPR_Workshops,
title = {Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution},
author = {Rao Muhammad Umer and Gian Luca Foresti and Christian Micheloni},
url = {http://openaccess.thecvf.com/content_CVPRW_2020/html/w31/Umer_Deep_Generative_Adversarial_Residual_Convolutional_Networks_for_Real-World_Super-Resolution_CVPRW_2020_paper.html},
year = {2020},
date = {2020-06-01},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Andreas Lugmayr; Martin Danelljan; Radu Timofte
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Proceedings Article
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020.
@inproceedings{Lugmayr_2020_CVPR_Workshops,
title = {NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results},
author = {Andreas Lugmayr and Martin Danelljan and Radu Timofte},
year = {2020},
date = {2020-06-01},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Matteo Dunnhofer; Maria Antico; Fumio Sasazawa; Yu Takeda; Saskia Camps; Niki Martinel; Christian Micheloni; Gustavo Carneiro; Davide Fontanarosa
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images Journal Article
In: Medical Image Analysis, vol. 60, pp. 101631, 2020, ISSN: 13618415.
@article{Dunnhofer2020,
title = {Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images},
author = {Matteo Dunnhofer and Maria Antico and Fumio Sasazawa and Yu Takeda and Saskia Camps and Niki Martinel and Christian Micheloni and Gustavo Carneiro and Davide Fontanarosa},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1361841519301677},
doi = {10.1016/j.media.2019.101631},
issn = {13618415},
year = {2020},
date = {2020-02-01},
journal = {Medical Image Analysis},
volume = {60},
pages = {101631},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Asad Munir; Christian Micheloni
Self Attention based multi branch Network for Person Re-Identification Conference
2020, (Cited by: 2; All Open Access, Green Open Access).
@conference{Munir2020,
title = {Self Attention based multi branch Network for Person Re-Identification},
author = {Asad Munir and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096692618&doi=10.23919%2fSpliTech49282.2020.9243741&partnerID=40&md5=8963a32a0c6111827a24dcfeb3f1e3d8},
doi = {10.23919/SpliTech49282.2020.9243741},
year = {2020},
date = {2020-01-01},
journal = {2020 5th International Conference on Smart and Sustainable Technologies, SpliTech 2020},
note = {Cited by: 2; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Asad Munir; Niki Martinel; Christian Micheloni
Multi Branch Siamese Network for Person Re-Identification Conference
vol. 2020-October, 2020, (Cited by: 13; All Open Access, Green Open Access).
@conference{Munir20202351,
title = {Multi Branch Siamese Network for Person Re-Identification},
author = {Asad Munir and Niki Martinel and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098628410&doi=10.1109%2fICIP40778.2020.9191115&partnerID=40&md5=540b1393914b4e5aa7415d4baaeb0f4c},
doi = {10.1109/ICIP40778.2020.9191115},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - International Conference on Image Processing, ICIP},
volume = {2020-October},
pages = {2351 – 2355},
note = {Cited by: 13; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Shadi Abpeikar; Mehdi Ghatee; Gian Luca Foresti; Christian Micheloni
Adaptive neural tree exploiting expert nodes to classify high-dimensional data Journal Article
In: Neural Networks, vol. 124, pp. 20 – 38, 2020, (Cited by: 10).
@article{Abpeikar202020b,
title = {Adaptive neural tree exploiting expert nodes to classify high-dimensional data},
author = {Shadi Abpeikar and Mehdi Ghatee and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077945180&doi=10.1016%2fj.neunet.2019.12.029&partnerID=40&md5=7ccce0e7644f48f2f0e8ef001982f8f2},
doi = {10.1016/j.neunet.2019.12.029},
year = {2020},
date = {2020-01-01},
journal = {Neural Networks},
volume = {124},
pages = {20 – 38},
note = {Cited by: 10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

N Martinel; G L Foresti; C Micheloni
Deep Pyramidal Pooling With Attention for Person Re-Identification Journal Article
In: IEEE Transactions on Image Processing, vol. 29, pp. 7306-7316, 2020.
@article{9117031,
title = {Deep Pyramidal Pooling With Attention for Person Re-Identification},
author = {N Martinel and G L Foresti and C Micheloni},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Image Processing},
volume = {29},
pages = {7306-7316},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

Shadi Abpeikar; Mehdi Ghatee; Gian Luca Foresti; Christian Micheloni
Adaptive neural tree exploiting expert nodes to classify high-dimensional data Journal Article
In: Neural Networks, vol. 124, pp. 20 - 38, 2020, ISSN: 0893-6080.
@article{ABPEIKAR202020,
title = {Adaptive neural tree exploiting expert nodes to classify high-dimensional data},
author = {Shadi Abpeikar and Mehdi Ghatee and Gian Luca Foresti and Christian Micheloni},
url = {http://www.sciencedirect.com/science/article/pii/S0893608019304319},
doi = {https://doi.org/10.1016/j.neunet.2019.12.029},
issn = {0893-6080},
year = {2020},
date = {2020-01-01},
journal = {Neural Networks},
volume = {124},
pages = {20 - 38},
abstract = {Classification of high dimensional data suffers from curse of dimensionality and over-fitting. Neural tree is a powerful method which combines a local feature selection and recursive partitioning to solve these problems, but it leads to high depth trees in classifying high dimensional data. On the other hand, if less depth trees are used, the classification accuracy decreases or over-fitting increases. This paper introduces a novel Neural Tree exploiting Expert Nodes (NTEN) to classify high-dimensional data. It is based on a decision tree structure, whose internal nodes are expert nodes performing multi-dimensional splitting. Any expert node has three decision-making abilities. Firstly, they can select the most eligible neural network with respect to the data complexity. Secondly, they evaluate the over-fitting. Thirdly, they can cluster the features to jointly minimize redundancy and overlapping. To this aim, metaheuristic optimization algorithms including GA, NSGA-II, PSO and ACO are applied. Based on these concepts, any expert node splits a class when the over-fitting is low, and clusters the features when the over-fitting is high. Some theoretical results on NTEN are derived, and experiments on 35 standard data show that NTEN reaches good classification results, reduces tree depth without over-fitting and degrading accuracy.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
W L Leong; N Martinel; S Huang; C Micheloni; G L Foresti; R Teo
Integrated Perception and Tactical Behaviours in an Auto-Organizing Aerial Sensor Network Proceedings Article
In: 2020 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 429-438, 2020.
@inproceedings{9214052,
title = {Integrated Perception and Tactical Behaviours in an Auto-Organizing Aerial Sensor Network},
author = {W L Leong and N Martinel and S Huang and C Micheloni and G L Foresti and R Teo},
doi = {10.1109/ICUAS48674.2020.9214052},
year = {2020},
date = {2020-01-01},
booktitle = {2020 International Conference on Unmanned Aircraft Systems (ICUAS)},
pages = {429-438},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Asad Munir; Christian Micheloni
Self Attention based multi branch Network for Person Re-Identification Proceedings Article
In: 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1-5, 2020.
@inproceedings{9243741,
title = {Self Attention based multi branch Network for Person Re-Identification},
author = {Asad Munir and Christian Micheloni},
doi = {10.23919/SpliTech49282.2020.9243741},
year = {2020},
date = {2020-01-01},
booktitle = {2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)},
pages = {1-5},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Asad Munir; Niki Martinel; Christian Micheloni
Multi Branch Siamese Network For Person Re-Identification Proceedings Article
In: 2020 IEEE International Conference on Image Processing (ICIP), pp. 2351-2355, 2020.
@inproceedings{9191115,
title = {Multi Branch Siamese Network For Person Re-Identification},
author = {Asad Munir and Niki Martinel and Christian Micheloni},
doi = {10.1109/ICIP40778.2020.9191115},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Image Processing (ICIP)},
pages = {2351-2355},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rita Pucci; Christian Micheloni; Gian Luca Foresti; Niki Martinel
Is It a Plausible Colour? UCapsNet for Image Colourisation Miscellaneous
Self-Supervised Learning Workshop at NeurIPS 2020, 2020.
@misc{pucci2020plausible,
title = {Is It a Plausible Colour? UCapsNet for Image Colourisation},
author = {Rita Pucci and Christian Micheloni and Gian Luca Foresti and Niki Martinel},
year = {2020},
date = {2020-01-01},
howpublished = {Self-Supervised Learning Workshop at NeurIPS 2020},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}

Matteo Dunnhofer; Niki Martinel; Christian Micheloni
Tracking-by-Trackers with a Distilled and Reinforced Model Proceedings Article
In: Asian Conference on Computer Vision (ACCV), pp. 631–650, 2020, ISBN: 978-3-030-69532-3.
@inproceedings{10.1007/978-3-030-69532-3_38,
title = {Tracking-by-Trackers with a Distilled and Reinforced Model},
author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},
isbn = {978-3-030-69532-3},
year = {2020},
date = {2020-01-01},
booktitle = {Asian Conference on Computer Vision (ACCV)},
pages = {631--650},
abstract = {Visual object tracking was generally tackled by reasoning independently on fast processing algorithms, accurate online adaptation methods, and fusion of trackers. In this paper, we unify such goals by proposing a novel tracking methodology that takes advantage of other visual trackers, offline and online. A compact student model is trained via the marriage of knowledge distillation and reinforcement learning. The first allows to transfer and compress tracking knowledge of other trackers. The second enables the learning of evaluation measures which are then exploited online. After learning, the student can be ultimately used to build (i) a very fast single-shot tracker, (ii) a tracker with a simple and effective online adaptation mechanism, (iii) a tracker that performs fusion of other trackers. Extensive validation shows that the proposed algorithms compete with real-time state-of-the-art trackers.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Andreas Lugmayr; Martin Danelljan; Radu Timofte; Namhyuk Ahn; Dongwoon Bai; Jie Cai; Yun Cao; Junyang Chen; Kaihua Cheng; SeYoung Chun; Wei Deng; Mostafa El-Khamy; Chiu Man Ho; Xiaozhong Ji; Amin Kheradmand; Gwantae Kim; Hanseok Ko; Kanghyu Lee; Jungwon Lee; Hao Li; Ziluan Liu; Zhi-Song Liu; Shuai Liu; Yunhua Lu; Zibo Meng; Pablo Navarrete Michelini; Christian Micheloni; Kalpesh Prajapati; Haoyu Ren; Yong Hyeok Seo; Wan-Chi Siu; Kyung-Ah Sohn; Ying Tai; Rao Muhammad Umer; Shuangquan Wang; Huibing Wang; Timothy Haoning Wu; Haoning Wu; Biao Yang; Fuzhi Yang; Jaejun Yoo; Tongtong Zhao; Yuanbo Zhou; Haijie Zhuo; Ziyao Zong; Xueyi Zou; Li-Wen Wang; Marie-Paule Cani; Huan Yang; Jianlong Fu; Yukai Shi; Jaihyun Park; Junyeop Lee; Jeongki Min; Bokyeung Lee; Fengshuo Hu; Yanhong Wang; Jinjia Peng; Chengjie Wang; Jilin Li; Feiyue Huang; Xing Liu; Shuaijun Chen; Lei Zhao; Zhan Wang; Yuxuan Lin; Xu Jia; Qinquan Gao; Heena Patel; Vishal Chudasama; Kishor Upla; Raghavendra Ramachandra; Kiran Raja; Christoph Busch
NTIRE 2020 challenge on real-world image super-resolution: Methods and results Conference
vol. 2020-June, 2020, (Cited by: 140; All Open Access, Green Open Access).
@conference{Lugmayr20202058,
title = {NTIRE 2020 challenge on real-world image super-resolution: Methods and results},
author = {Andreas Lugmayr and Martin Danelljan and Radu Timofte and Namhyuk Ahn and Dongwoon Bai and Jie Cai and Yun Cao and Junyang Chen and Kaihua Cheng and SeYoung Chun and Wei Deng and Mostafa El-Khamy and Chiu Man Ho and Xiaozhong Ji and Amin Kheradmand and Gwantae Kim and Hanseok Ko and Kanghyu Lee and Jungwon Lee and Hao Li and Ziluan Liu and Zhi-Song Liu and Shuai Liu and Yunhua Lu and Zibo Meng and Pablo Navarrete Michelini and Christian Micheloni and Kalpesh Prajapati and Haoyu Ren and Yong Hyeok Seo and Wan-Chi Siu and Kyung-Ah Sohn and Ying Tai and Rao Muhammad Umer and Shuangquan Wang and Huibing Wang and Timothy Haoning Wu and Haoning Wu and Biao Yang and Fuzhi Yang and Jaejun Yoo and Tongtong Zhao and Yuanbo Zhou and Haijie Zhuo and Ziyao Zong and Xueyi Zou and Li-Wen Wang and Marie-Paule Cani and Huan Yang and Jianlong Fu and Yukai Shi and Jaihyun Park and Junyeop Lee and Jeongki Min and Bokyeung Lee and Fengshuo Hu and Yanhong Wang and Jinjia Peng and Chengjie Wang and Jilin Li and Feiyue Huang and Xing Liu and Shuaijun Chen and Lei Zhao and Zhan Wang and Yuxuan Lin and Xu Jia and Qinquan Gao and Heena Patel and Vishal Chudasama and Kishor Upla and Raghavendra Ramachandra and Kiran Raja and Christoph Busch},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090110747&doi=10.1109%2fCVPRW50498.2020.00255&partnerID=40&md5=921de194f58ed0fcf42761260e21216e},
doi = {10.1109/CVPRW50498.2020.00255},
year = {2020},
date = {2020-01-01},
journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
volume = {2020-June},
pages = {2058 – 2076},
note = {Cited by: 140; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Matej Kristan; Aleš Leonardis; Jiří Matas; Michael Felsberg; Roman Pflugfelder; Joni-Kristian Kämäräinen; Martin Danelljan; Luka Čehovin Zajc; Alan Lukežič; Ondrej Drbohlav; Linbo He; Yushan Zhang; Song Yan; Jinyu Yang; Gustavo Fernández; Alexander Hauptmann; Alireza Memarmoghadam; Álvaro García-Martín; Andreas Robinson; Anton Varfolomieiev; Awet Haileslassie Gebrehiwot; Bedirhan Uzun; Bin Yan; Bing Li; Chen Qian; Chi-Yi Tsai; Christian Micheloni; Dong Wang; Fei Wang; Fei Xie; Felix Jaremo Lawin; Fredrik Gustafsson; Gian Luca Foresti; Goutam Bhat; Guangqi Chen; Haibin Ling; Haitao Zhang; Hakan Cevikalp; Haojie Zhao; Haoran Bai; Hari Chandana Kuchibhotla; Hasan Saribas; Heng Fan; Hossein Ghanei-Yakhdan; Houqiang Li; Houwen Peng; Huchuan Lu; Hui Li; Javad Khaghani; Jesus Bescos; Jianhua Li; Jianlong Fu; Jiaqian Yu; Jingtao Xu; Josef Kittler; Jun Yin; Junhyun Lee; Kaicheng Yu; Kaiwen Liu; Kang Yang; Kenan Dai; Li Cheng; Li Zhang; Lijun Wang; Linyuan Wang; Luc Van Gool; Luca Bertinetto; Matteo Dunnhofer; Miao Cheng; Mohana Murali Dasari; Ning Wang; Pengyu Zhang; Philip H. S. Torr; Qiang Wang; Radu Timofte; Rama Krishna Sai Gorthi; Seokeon Choi; Seyed Mojtaba Marvasti-Zadeh; Shaochuan Zhao; Shohreh Kasaei; Shoumeng Qiu; Shuhao Chen; Thomas B. Schön; Tianyang Xu; Wei Lu; Weiming Hu; Wengang Zhou; Xi Qiu; Xiao Ke; Xiao-Jun Wu; Xiaolin Zhang; Xiaoyun Yang; Xuefeng Zhu; Yingjie Jiang; Yingming Wang; Yiwei Chen; Yu Ye; Yuezhou Li; Yuncon Yao; Yunsung Lee; Yuzhang Gu; Zezhou Wang; Zhangyong Tang; Zhen-Hua Feng; Zhijun Mai; Zhipeng Zhang; Zhirong Wu; Ziang Ma
The Eighth Visual Object Tracking VOT2020 Challenge Results Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12539 LNCS, pp. 547 – 601, 2020, (Cited by: 171).
@article{Kristan2020547,
title = {The Eighth Visual Object Tracking VOT2020 Challenge Results},
author = {Matej Kristan and Aleš Leonardis and Jiří Matas and Michael Felsberg and Roman Pflugfelder and Joni-Kristian Kämäräinen and Martin Danelljan and Luka Čehovin Zajc and Alan Lukežič and Ondrej Drbohlav and Linbo He and Yushan Zhang and Song Yan and Jinyu Yang and Gustavo Fernández and Alexander Hauptmann and Alireza Memarmoghadam and Álvaro García-Martín and Andreas Robinson and Anton Varfolomieiev and Awet Haileslassie Gebrehiwot and Bedirhan Uzun and Bin Yan and Bing Li and Chen Qian and Chi-Yi Tsai and Christian Micheloni and Dong Wang and Fei Wang and Fei Xie and Felix Jaremo Lawin and Fredrik Gustafsson and Gian Luca Foresti and Goutam Bhat and Guangqi Chen and Haibin Ling and Haitao Zhang and Hakan Cevikalp and Haojie Zhao and Haoran Bai and Hari Chandana Kuchibhotla and Hasan Saribas and Heng Fan and Hossein Ghanei-Yakhdan and Houqiang Li and Houwen Peng and Huchuan Lu and Hui Li and Javad Khaghani and Jesus Bescos and Jianhua Li and Jianlong Fu and Jiaqian Yu and Jingtao Xu and Josef Kittler and Jun Yin and Junhyun Lee and Kaicheng Yu and Kaiwen Liu and Kang Yang and Kenan Dai and Li Cheng and Li Zhang and Lijun Wang and Linyuan Wang and Luc Van Gool and Luca Bertinetto and Matteo Dunnhofer and Miao Cheng and Mohana Murali Dasari and Ning Wang and Pengyu Zhang and Philip H. S. Torr and Qiang Wang and Radu Timofte and Rama Krishna Sai Gorthi and Seokeon Choi and Seyed Mojtaba Marvasti-Zadeh and Shaochuan Zhao and Shohreh Kasaei and Shoumeng Qiu and Shuhao Chen and Thomas B. Schön and Tianyang Xu and Wei Lu and Weiming Hu and Wengang Zhou and Xi Qiu and Xiao Ke and Xiao-Jun Wu and Xiaolin Zhang and Xiaoyun Yang and Xuefeng Zhu and Yingjie Jiang and Yingming Wang and Yiwei Chen and Yu Ye and Yuezhou Li and Yuncon Yao and Yunsung Lee and Yuzhang Gu and Zezhou Wang and Zhangyong Tang and Zhen-Hua Feng and Zhijun Mai and Zhipeng Zhang and Zhirong Wu and Ziang Ma},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101374294&doi=10.1007%2f978-3-030-68238-5_39&partnerID=40&md5=83ea0f232950fffdb0d4d974151e916e},
doi = {10.1007/978-3-030-68238-5_39},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12539 LNCS},
pages = {547 – 601},
note = {Cited by: 171},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni
Deep generative adversarial residual convolutional networks for real-world super-resolution Conference
vol. 2020-June, 2020, (Cited by: 36; All Open Access, Green Open Access).
@conference{MuhammadUmer20201769,
title = {Deep generative adversarial residual convolutional networks for real-world super-resolution},
author = {Rao Muhammad Umer and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090136181&doi=10.1109%2fCVPRW50498.2020.00227&partnerID=40&md5=d201296a4232a3bc6043e113c20b1a7b},
doi = {10.1109/CVPRW50498.2020.00227},
year = {2020},
date = {2020-01-01},
journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
volume = {2020-June},
pages = {1769 – 1777},
note = {Cited by: 36; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Kai Zhang; Martin Danelljan; Yawei Li; Radu Timofte; Jie Liu; Jie Tang; Gangshan Wu; Yu Zhu; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; Jian Cheng; Guangyang Wu; Wenyi Wang; Xiaohong Liu; Hengyuan Zhao; Xiangtao Kong; Jingwen He; Yu Qiao; Chao Dong; Xiaotong Luo; Liang Chen; Jiangtao Zhang; Maitreya Suin; Kuldeep Purohit; A. N. Rajagopalan; Xiaochuan Li; Zhiqiang Lang; Jiangtao Nie; Wei Wei; Lei Zhang; Abdul Muqeet; Jiwon Hwang; Subin Yang; JungHeum Kang; Sung-Ho Bae; Yongwoo Kim; Yanyun Qu; Geun-Woo Jeon; Jun-Ho Choi; Jun-Hyuk Kim; Jong-Seok Lee; Steven Marty; Eric Marty; Dongliang Xiong; Siang Chen; Lin Zha; Jiande Jiang; Xinbo Gao; Wen Lu; Haicheng Wang; Vineeth Bhaskara; Alex Levinshtein; Stavros Tsogkas; Allan Jepson; Xiangzhen Kong; Tongtong Zhao; Shanshan Zhao; P. S. Hrishikesh; Densen Puthussery; C. V. Jiji; Nan Nan; Shuai Liu; Jie Cai; Zibo Meng; Jiaming Ding; Chiu Man Ho; Xuehui Wang; Qiong Yan; Yuzhi Zhao; Long Chen; Long Sun; Wenhao Wang; Zhenbing Liu; Rushi Lan; Rao Muhammad Umer; Christian Micheloni
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12537 LNCS, pp. 5 – 40, 2020, (Cited by: 62).
@article{Zhang20205,
title = {AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results},
author = {Kai Zhang and Martin Danelljan and Yawei Li and Radu Timofte and Jie Liu and Jie Tang and Gangshan Wu and Yu Zhu and Xiangyu He and Wenjie Xu and Chenghua Li and Cong Leng and Jian Cheng and Guangyang Wu and Wenyi Wang and Xiaohong Liu and Hengyuan Zhao and Xiangtao Kong and Jingwen He and Yu Qiao and Chao Dong and Xiaotong Luo and Liang Chen and Jiangtao Zhang and Maitreya Suin and Kuldeep Purohit and A. N. Rajagopalan and Xiaochuan Li and Zhiqiang Lang and Jiangtao Nie and Wei Wei and Lei Zhang and Abdul Muqeet and Jiwon Hwang and Subin Yang and JungHeum Kang and Sung-Ho Bae and Yongwoo Kim and Yanyun Qu and Geun-Woo Jeon and Jun-Ho Choi and Jun-Hyuk Kim and Jong-Seok Lee and Steven Marty and Eric Marty and Dongliang Xiong and Siang Chen and Lin Zha and Jiande Jiang and Xinbo Gao and Wen Lu and Haicheng Wang and Vineeth Bhaskara and Alex Levinshtein and Stavros Tsogkas and Allan Jepson and Xiangzhen Kong and Tongtong Zhao and Shanshan Zhao and P. S. Hrishikesh and Densen Puthussery and C. V. Jiji and Nan Nan and Shuai Liu and Jie Cai and Zibo Meng and Jiaming Ding and Chiu Man Ho and Xuehui Wang and Qiong Yan and Yuzhi Zhao and Long Chen and Long Sun and Wenhao Wang and Zhenbing Liu and Rushi Lan and Rao Muhammad Umer and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101569286&doi=10.1007%2f978-3-030-67070-2_1&partnerID=40&md5=22bcf2bd0d5c4b6b3b78b3da47a28f35},
doi = {10.1007/978-3-030-67070-2_1},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12537 LNCS},
pages = {5 – 40},
note = {Cited by: 62},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rao Muhammad Umer; Christian Micheloni
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12537 LNCS, pp. 484 – 498, 2020, (Cited by: 4; All Open Access, Green Open Access).
@article{Umer2020484,
title = {Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution},
author = {Rao Muhammad Umer and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101541016&doi=10.1007%2f978-3-030-67070-2_29&partnerID=40&md5=c3452000d26da234c7cc05a200d08ad6},
doi = {10.1007/978-3-030-67070-2_29},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12537 LNCS},
pages = {484 – 498},
note = {Cited by: 4; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Asad Munir; Niki Martinel; Christian Micheloni
Self and channel attention network for person re-identification Conference
2020, (Cited by: 7).
@conference{Munir20204025,
title = {Self and channel attention network for person re-identification},
author = {Asad Munir and Niki Martinel and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110443575&doi=10.1109%2fICPR48806.2021.9413159&partnerID=40&md5=d04073ab1b4f0cdbdafb29a72abf8ad7},
doi = {10.1109/ICPR48806.2021.9413159},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - International Conference on Pattern Recognition},
pages = {4025 – 4031},
note = {Cited by: 7},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
W. L. Leong; N. Martinel; S. Huang; C. Micheloni; G. L. Foresti; R. Teo
Integrated Perception and Tactical Behaviours in an Auto-Organizing Aerial Sensor Network Conference
2020, (Cited by: 5).
@conference{Leong2020429,
title = {Integrated Perception and Tactical Behaviours in an Auto-Organizing Aerial Sensor Network},
author = {W. L. Leong and N. Martinel and S. Huang and C. Micheloni and G. L. Foresti and R. Teo},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094964145&doi=10.1109%2fICUAS48674.2020.9214052&partnerID=40&md5=74006e1fe63755261e79c5a0e9024f22},
doi = {10.1109/ICUAS48674.2020.9214052},
year = {2020},
date = {2020-01-01},
journal = {2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020},
pages = {429 – 438},
note = {Cited by: 5},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rita Pucci; Christian Micheloni; Gian Luca Foresti; Niki Martinel
Deep interactive encoding with capsule networks for image classification Journal Article
In: Multimedia Tools and Applications, vol. 79, no. 43-44, pp. 32243 – 32258, 2020, (Cited by: 11).
@article{Pucci202032243,
title = {Deep interactive encoding with capsule networks for image classification},
author = {Rita Pucci and Christian Micheloni and Gian Luca Foresti and Niki Martinel},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089864732&doi=10.1007%2fs11042-020-09455-8&partnerID=40&md5=c36c421a44eeff8fac293163ab44de6d},
doi = {10.1007/s11042-020-09455-8},
year = {2020},
date = {2020-01-01},
journal = {Multimedia Tools and Applications},
volume = {79},
number = {43-44},
pages = {32243 – 32258},
note = {Cited by: 11},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Niki Martinel; Gian Luca Foresti; Christian Micheloni
Deep Pyramidal Pooling with Attention for Person Re-Identification Journal Article
In: IEEE Transactions on Image Processing, vol. 29, pp. 7306 – 7316, 2020, (Cited by: 37).
@article{Martinel20207306,
title = {Deep Pyramidal Pooling with Attention for Person Re-Identification},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088309896&doi=10.1109%2fTIP.2020.3000904&partnerID=40&md5=2217d1b168b44f655e699a5bad5a7f30},
doi = {10.1109/TIP.2020.3000904},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Image Processing},
volume = {29},
pages = {7306 – 7316},
note = {Cited by: 37},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Matteo Dunnhofer; Maria Antico; Fumio Sasazawa; Yu Takeda; Saskia Camps; Niki Martinel; Christian Micheloni; Gustavo Carneiro; Davide Fontanarosa
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images Journal Article
In: Medical Image Analysis, vol. 60, 2020, (Cited by: 61; All Open Access, Green Open Access).
@article{Dunnhofer2020b,
title = {Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images},
author = {Matteo Dunnhofer and Maria Antico and Fumio Sasazawa and Yu Takeda and Saskia Camps and Niki Martinel and Christian Micheloni and Gustavo Carneiro and Davide Fontanarosa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077514053&doi=10.1016%2fj.media.2019.101631&partnerID=40&md5=f8be56c95b3386729cf6213e71ec1674},
doi = {10.1016/j.media.2019.101631},
year = {2020},
date = {2020-01-01},
journal = {Medical Image Analysis},
volume = {60},
note = {Cited by: 61; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rita Pucci; Christian Micheloni; Gian Luca Foresti; Niki Martinel
Fixed simplex coordinates for angular margin loss in CapsNet Conference
2020, (Cited by: 4).
@conference{Pucci20203042,
title = {Fixed simplex coordinates for angular margin loss in CapsNet},
author = {Rita Pucci and Christian Micheloni and Gian Luca Foresti and Niki Martinel},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110452779&doi=10.1109%2fICPR48806.2021.9412241&partnerID=40&md5=4cde5e177fd8598d5910c26db128e002},
doi = {10.1109/ICPR48806.2021.9412241},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - International Conference on Pattern Recognition},
pages = {3042 – 3049},
note = {Cited by: 4},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rao M. Umer; G. L. Foresti; C. Micheloni
Deep iterative residual convolutional network for single image super-resolution Conference
2020, (Cited by: 4; All Open Access, Green Open Access).
@conference{Umer20201852,
title = {Deep iterative residual convolutional network for single image super-resolution},
author = {Rao M. Umer and G. L. Foresti and C. Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110553331&doi=10.1109%2fICPR48806.2021.9412159&partnerID=40&md5=870f87d0608fe34f4b09a9e75ec1a216},
doi = {10.1109/ICPR48806.2021.9412159},
year = {2020},
date = {2020-01-01},
journal = {Proceedings - International Conference on Pattern Recognition},
pages = {1852 – 1858},
note = {Cited by: 4; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; Errui Ding; Tangxin Xie; Liang Cao; Yan Zou; Yi Shen; Jialiang Zhang; Yu Jia; Kaihua Cheng; Chenhuan Wu; Yue Lin; Cen Liu; Yunbo Peng; Xueyi Zou; Zhipeng Luo; Yuehan Yao; Zhenyu Xu; Syed Waqas Zamir; Aditya Arora; Salman Khan; Munawar Hayat; Fahad Shahbaz Khan; Keon-Hee Ahn; Jun-Hyuk Kim; Jun-Ho Choi; Jong-Seok Lee; Tongtong Zhao; Shanshan Zhao; Yoseob Han; Byung-Hoon Kim; JaeHyun Baek; Haoning Wu; Dejia Xu; Bo Zhou; Wei Guan; Xiaobo Li; Chen Ye; Hao Li; Haoyu Zhong; Yukai Shi; Zhijing Yang; Xiaojun Yang; Xin Li; Xin Jin; Yaojun Wu; Yingxue Pang; Sen Liu; Zhi-Song Liu; Li-Wen Wang; Chu-Tak Li; Marie-Paule Cani; Wan-Chi Siu; Yuanbo Zhou; Rao Muhammad Umer; Christian Micheloni; Xiaofeng Cong; Rajat Gupta; Jun-Hyuk Kim; Jun-Ho Choi; Jong-Seok Lee; Feras Almasri; Thomas Vandamme; Olivier Debeir
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12537 LNCS, pp. 392 – 422, 2020, (Cited by: 19; All Open Access, Green Open Access).
@article{Wei2020392,
title = {AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results},
author = {Pengxu Wei and Hannan Lu and Radu Timofte and Liang Lin and Wangmeng Zuo and Zhihong Pan and Baopu Li and Teng Xi and Yanwen Fan and Gang Zhang and Jingtuo Liu and Junyu Han and Errui Ding and Tangxin Xie and Liang Cao and Yan Zou and Yi Shen and Jialiang Zhang and Yu Jia and Kaihua Cheng and Chenhuan Wu and Yue Lin and Cen Liu and Yunbo Peng and Xueyi Zou and Zhipeng Luo and Yuehan Yao and Zhenyu Xu and Syed Waqas Zamir and Aditya Arora and Salman Khan and Munawar Hayat and Fahad Shahbaz Khan and Keon-Hee Ahn and Jun-Hyuk Kim and Jun-Ho Choi and Jong-Seok Lee and Tongtong Zhao and Shanshan Zhao and Yoseob Han and Byung-Hoon Kim and JaeHyun Baek and Haoning Wu and Dejia Xu and Bo Zhou and Wei Guan and Xiaobo Li and Chen Ye and Hao Li and Haoyu Zhong and Yukai Shi and Zhijing Yang and Xiaojun Yang and Xin Li and Xin Jin and Yaojun Wu and Yingxue Pang and Sen Liu and Zhi-Song Liu and Li-Wen Wang and Chu-Tak Li and Marie-Paule Cani and Wan-Chi Siu and Yuanbo Zhou and Rao Muhammad Umer and Christian Micheloni and Xiaofeng Cong and Rajat Gupta and Jun-Hyuk Kim and Jun-Ho Choi and Jong-Seok Lee and Feras Almasri and Thomas Vandamme and Olivier Debeir},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101563281&doi=10.1007%2f978-3-030-67070-2_24&partnerID=40&md5=8bbb014827b05c5efbc9f6bc61997bc8},
doi = {10.1007/978-3-030-67070-2_24},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12537 LNCS},
pages = {392 – 422},
note = {Cited by: 19; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Matteo Dunnhofer; Niki Martinel; Christian Micheloni
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12539 LNCS, pp. 618 – 636, 2020, (Cited by: 1; All Open Access, Green Open Access).
@article{Dunnhofer2020618,
title = {An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers},
author = {Matteo Dunnhofer and Niki Martinel and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101368943&doi=10.1007%2f978-3-030-68238-5_41&partnerID=40&md5=7884c887846a656c9345ae775d0efbb7},
doi = {10.1007/978-3-030-68238-5_41},
year = {2020},
date = {2020-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {12539 LNCS},
pages = {618 – 636},
note = {Cited by: 1; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2019

Matej Kristan; Jiri Matas; Ales Leonardis; Michael Felsberg; Roman Pflugfelder; Joni-Kristian Kamarainen; Luka Cehovin Zajc; Ondrej Drbohlav; Alan Lukezic; ...; Niki Martinel; ...; Christian Micheloni; ...; Matteo Dunnhofer; ...
The Seventh Visual Object Tracking VOT2019 Challenge Results Proceedings Article
In: The IEEE International Conference on Computer Vision (ICCV) Workshops, 2019.
@inproceedings{Kristan_2019_ICCV,
title = {The Seventh Visual Object Tracking VOT2019 Challenge Results},
author = {Matej Kristan and Jiri Matas and Ales Leonardis and Michael Felsberg and Roman Pflugfelder and Joni-Kristian Kamarainen and Luka Cehovin Zajc and Ondrej Drbohlav and Alan Lukezic and ... and Niki Martinel and ... and Christian Micheloni and ... and Matteo Dunnhofer and ...},
url = {http://openaccess.thecvf.com/content_ICCVW_2019/html/VOT/Kristan_The_Seventh_Visual_Object_Tracking_VOT2019_Challenge_Results_ICCVW_2019_paper.html},
year = {2019},
date = {2019-10-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Matteo Dunnhofer; Niki Martinel; Gian Luca Foresti; Christian Micheloni
Visual Tracking by Means of Deep Reinforcement Learning and an Expert Demonstrator Proceedings Article
In: The IEEE International Conference on Computer Vision (ICCV) Workshops, 2019.
@inproceedings{Dunnhofer_2019_ICCV,
title = {Visual Tracking by Means of Deep Reinforcement Learning and an Expert Demonstrator},
author = {Matteo Dunnhofer and Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {http://openaccess.thecvf.com/content_ICCVW_2019/html/VOT/Dunnhofer_Visual_Tracking_by_Means_of_Deep_Reinforcement_Learning_and_an_ICCVW_2019_paper.html},
year = {2019},
date = {2019-10-01},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Niki Martinel; Gian Luca Foresti; Christian Micheloni
Aggregating Deep Pyramidal Representations for Person Re-Identification Proceedings Article
In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
@inproceedings{Martinel_2019_CVPR_Workshops,
title = {Aggregating Deep Pyramidal Representations for Person Re-Identification},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/TRMTMCT/Martinel_Aggregating_Deep_Pyramidal_Representations_for_Person_Re-Identification_CVPRW_2019_paper.html},
year = {2019},
date = {2019-06-01},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Niki Martinel; Gian Luca Foresti; Christian Micheloni
Distributed person re-identification through network-wise rank fusion consensus Journal Article
In: Pattern Recognition Letters, vol. 124, pp. 63–73, 2019, ISSN: 01678655.
@article{Martinel2019,
title = {Distributed person re-identification through network-wise rank fusion consensus},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://doi.org/10.1016/j.patrec.2018.12.015 https://linkinghub.elsevier.com/retrieve/pii/S0167865518309267},
doi = {10.1016/j.patrec.2018.12.015},
issn = {01678655},
year = {2019},
date = {2019-06-01},
journal = {Pattern Recognition Letters},
volume = {124},
pages = {63--73},
publisher = {Elsevier B.V.},
abstract = {The problem of re-identify persons across single disjoint camera-pairs has received great attention from the community. Despite this, when the re-identification process has to be carried out on a wide camera network additional problems arise and deny the direct application of existing solutions. Thus, a different approach has to be considered. In particular, existing approaches have neglected the importance of the network topology (i.e., the configuration of the monitored area) in such a process. To try filling such a gap, we propose a distributed person re-identification framework which brings in the following contributions: (i) a weighted camera matching cost that measures the re-identification performance between cameras in the network; (ii) a derivation of the distance vector algorithm that yields to network topology learning and allows us to prioritize and limit the cameras inquired for the re-identification; (iii) a network consensus weighted rank fusion solution that allows us to perform the re-identification in a robust fashion. Results on four benchmark datasets show that the proposed approach brings to significant network-wise re-identification improvements.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Asad Munir; Gian Luca Foresti; Christian Micheloni
2019, (Cited by: 0; All Open Access, Green Open Access).
@conference{Munir2019,
title = {Ph.D Forum: Generating domain and pose variations between pair of cameras for person re-identification},
author = {Asad Munir and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073361577&doi=10.1145%2f3349801.3357135&partnerID=40&md5=e23ae3ceedfff992e804cf1161056629},
doi = {10.1145/3349801.3357135},
year = {2019},
date = {2019-01-01},
journal = {ACM International Conference Proceeding Series},
note = {Cited by: 0; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Marco Zamprogno; Marco Passon; Niki Martinel; Giuseppe Serra; Christian Micheloni; Carlo Tasso; Gian Luca Foresti
Video-Based Convolutional Attention for Person Re-Identification Proceedings Article
In: International Conference on Image Analysis and Processing, 2019.
@inproceedings{Zamprogno2019,
title = {Video-Based Convolutional Attention for Person Re-Identification},
author = {Marco Zamprogno and Marco Passon and Niki Martinel and Giuseppe Serra and Christian Micheloni and Carlo Tasso and Gian Luca Foresti},
url = {https://arxiv.org/abs/1910.04856},
year = {2019},
date = {2019-01-01},
booktitle = {International Conference on Image Analysis and Processing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rita Pucci; Christian Micheloni; Vito Roberto; Gian Luca Foresti; Niki Martinel
An Exploration of the Interaction Between capsules with ResNetCaps models Proceedings Article
In: International Conference on Distributed Smart Cameras, pp. 1–6, ACM Press, Trento, Italy, 2019, ISBN: 9781450371896.
@inproceedings{Pucci2019,
title = {An Exploration of the Interaction Between capsules with ResNetCaps models},
author = {Rita Pucci and Christian Micheloni and Vito Roberto and Gian Luca Foresti and Niki Martinel},
url = {http://dl.acm.org/citation.cfm?doid=3349801.3349804},
doi = {10.1145/3349801.3349804},
isbn = {9781450371896},
year = {2019},
date = {2019-01-01},
booktitle = {International Conference on Distributed Smart Cameras},
pages = {1--6},
publisher = {ACM Press},
address = {Trento, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Enkhtogtokh Togootogtokh; Sunan Huang; Wai Lun Leong; Rodney Teo; Gian Luca Foresti; Christian Micheloni; Niki Maritnel
An Efficient Artificial Intelligence Framework for UAV Systems Proceedings Article
In: International Conference on Ubi-Media Computing, 2019.
@inproceedings{Togootogtokh2019,
title = {An Efficient Artificial Intelligence Framework for UAV Systems},
author = {Enkhtogtokh Togootogtokh and Sunan Huang and Wai Lun Leong and Rodney Teo and Gian Luca Foresti and Christian Micheloni and Niki Maritnel},
year = {2019},
date = {2019-01-01},
booktitle = {International Conference on Ubi-Media Computing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Giuseppe Lisanti; Niki Martinel; Christian Micheloni; Alberto Del Bimbo; Gian Luca Foresti
From person to group re-identification via unsupervised transfer of sparse features Journal Article
In: Image and Vision Computing, vol. 83-84, pp. 29–38, 2019, ISSN: 02628856.
@article{Lisanti2019,
title = {From person to group re-identification via unsupervised transfer of sparse features},
author = {Giuseppe Lisanti and Niki Martinel and Christian Micheloni and Alberto {Del Bimbo} and Gian {Luca Foresti}},
url = {https://doi.org/10.1016/j.imavis.2019.02.009},
doi = {10.1016/j.imavis.2019.02.009},
issn = {02628856},
year = {2019},
date = {2019-01-01},
journal = {Image and Vision Computing},
volume = {83-84},
pages = {29--38},
publisher = {Elsevier B.V.},
abstract = {The visual association of a person appearing in the field of view of different cameras is today well known as Person Re-Identification. Current approaches find a solution to such a problem by considering persons as individuals, hence avoiding the fact that frequently they form groups or move in crowds. In such cases, the information acquired by neighboring individuals can provide relevant visual context to boost the performance in re-identifying persons within the group. In light of enriched information, groups re-identification encompasses additional problems to the common person re-identification ones, such as severe occlusions and changes in the relative position of people within the group. In this paper, the single person re-identification knowledge is transferred by means of a sparse dictionary learning to group re-identification. First, patches extracted from single person images are used to learn a dictionary of sparse atoms. This is used to obtain a sparsity-driven residual group representation that is exploited to perform group re-identification. To evaluate the performance of the proposed approach, we considered the i-LIDS groups dataset that is the only group re-identification publicly available dataset. The benchmark datasets for single person re-identification evaluation do not include group information, hence we collected two additional datasets under challenging scenarios and used them to validate our solution.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman Pflugfelder; Joni-Kristian Kämäräinen; Luka Cehovin Zajc; Ondrej Drbohlav; Alan Lukezic; Amanda Berg; Abdelrahman Eldesokey; Jani Kapyla; Gustavo Fernández; Abel Gonzalez-Garcia; Alireza Memarmoghadam; Andong Lu; Anfeng He; Anton Varfolomieiev; Antoni Chan; Ardhendu Shekhar Tripathi; Arnold Smeulders; Bala Suraj Pedasingu; Bao Xin Chen; Baopeng Zhang; B. Baoyuanwu; Bi Li; Bin He; Bin Yan; Bing Bai; Bing Li; Bo Li; Byeong Hak Kim; Chao Ma; Chen Fang; Chen Qian; Cheng Chen; Chenglong Li; Chengquan Zhang; Chi-Yi Tsai; Chong Luo; Christian Micheloni; Chunhui Zhang; Dacheng Tao; Deepak Gupta; Dejia Song; Dong Wang; Efstratios Gavves; Eunu Yi; Fahad Shahbaz Khan; Fangyi Zhang; Fei Wang; Fei Zhao; George De Ath; Goutam Bhat; Guangqi Chen; Guangting Wang; Guoxuan Li; Hakan Cevikalp; Hao Du; Haojie Zhao; Hasan Saribas; Ho Min Jung; Hongliang Bai; Hongyuan Yu; Houwen Peng; Huchuan Lu; Hui Li; Jiakun Li; Jianhua Li; Jianlong Fu; Jie Chen; Jie Gao; Jie Zhao; Jin Tang; Jing Li; Jingjing Wu; Jingtuo Liu; Jinqiao Wang; Jinqing Qi; Jinyue Zhang; John K. Tsotsos; Jong Hyuk Lee; Joost Van De Weijer; Josef Kittler; Jun Ha Lee; Junfei Zhuang; Kangkai Zhang; Kangkang Wang; Kenan Dai; Lei Chen; Lei Liu; Leida Guo; Li Zhang; Liang Wang; Liangliang Wang; Lichao Zhang; Lijun Wang; Lijun Zhou; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim; Ming Tang; Ming-Hsuan Yang; Naveen Paluru; Niki Martinel; Pengfei Xu; Pengfei Zhang; Pengkun Zheng; Pengyu Zhang; Philip H. S. Torr; Qi Zhang Qiang Wang; Qing Guo; Radu Timofte; Rama Krishna Gorthi; Richard Everson; Ruize Han; Ruohan Zhang; Shan You; Shao-Chuan Zhao; Shengwei Zhao; Shihu Li; Shikun Li; Shiming Ge; Shuai Bai; Shuosen Guan; Tengfei Xing; Tianyang Xu; Tianyu Yang; Ting Zhang; Tomas Vojír; Wei Feng; Weiming Hu; Weizhao Wang; Wenjie Tang; Wenjun Zeng; Wenyu Liu; Xi Chen; Xi Qiu; Xiang Bai; Xiao-Jun Wu; Xiaoyun Yang; Xier Chen; Xin Li; Xing Sun; Xingyu Chen; Xinmei Tian; Xu Tang; Xue-Feng Zhu; Yan Huang; Yanan Chen; Yanchao Lian; Yang Gu; Yang Liu; Yanjie Chen; Yi Zhang; Yinda Xu; Yingming Wang; Yingping Li; Yu Zhou; Yuan Dong; Yufei Xu; Yunhua Zhang; Yunkun Li; Zeyu Wang Zhao Luo; Zhaoliang Zhang; Zhen-Hua Feng; Zhenyu He; Zhichao Song; Zhihao Chen; Zhipeng Zhang; Zhirong Wu; Zhiwei Xiong; Zhongjian Huang; Zhu Teng; Zihan Ni
The seventh visual object tracking VOT2019 challenge results Conference
2019, (Cited by: 388; All Open Access, Green Open Access).
@conference{Kristan20192206,
title = {The seventh visual object tracking VOT2019 challenge results},
author = {Matej Kristan and Jirí Matas and Ales Leonardis and Michael Felsberg and Roman Pflugfelder and Joni-Kristian Kämäräinen and Luka Cehovin Zajc and Ondrej Drbohlav and Alan Lukezic and Amanda Berg and Abdelrahman Eldesokey and Jani Kapyla and Gustavo Fernández and Abel Gonzalez-Garcia and Alireza Memarmoghadam and Andong Lu and Anfeng He and Anton Varfolomieiev and Antoni Chan and Ardhendu Shekhar Tripathi and Arnold Smeulders and Bala Suraj Pedasingu and Bao Xin Chen and Baopeng Zhang and B. Baoyuanwu and Bi Li and Bin He and Bin Yan and Bing Bai and Bing Li and Bo Li and Byeong Hak Kim and Chao Ma and Chen Fang and Chen Qian and Cheng Chen and Chenglong Li and Chengquan Zhang and Chi-Yi Tsai and Chong Luo and Christian Micheloni and Chunhui Zhang and Dacheng Tao and Deepak Gupta and Dejia Song and Dong Wang and Efstratios Gavves and Eunu Yi and Fahad Shahbaz Khan and Fangyi Zhang and Fei Wang and Fei Zhao and George De Ath and Goutam Bhat and Guangqi Chen and Guangting Wang and Guoxuan Li and Hakan Cevikalp and Hao Du and Haojie Zhao and Hasan Saribas and Ho Min Jung and Hongliang Bai and Hongyuan Yu and Houwen Peng and Huchuan Lu and Hui Li and Jiakun Li and Jianhua Li and Jianlong Fu and Jie Chen and Jie Gao and Jie Zhao and Jin Tang and Jing Li and Jingjing Wu and Jingtuo Liu and Jinqiao Wang and Jinqing Qi and Jinyue Zhang and John K. Tsotsos and Jong Hyuk Lee and Joost Van De Weijer and Josef Kittler and Jun Ha Lee and Junfei Zhuang and Kangkai Zhang and Kangkang Wang and Kenan Dai and Lei Chen and Lei Liu and Leida Guo and Li Zhang and Liang Wang and Liangliang Wang and Lichao Zhang and Lijun Wang and Lijun Zhou and Linyu Zheng and Litu Rout and Luc Van Gool and Luca Bertinetto and Martin Danelljan and Matteo Dunnhofer and Meng Ni and Min Young Kim and Ming Tang and Ming-Hsuan Yang and Naveen Paluru and Niki Martinel and Pengfei Xu and Pengfei Zhang and Pengkun Zheng and Pengyu Zhang and Philip H. S. Torr and Qi Zhang Qiang Wang and Qing Guo and Radu Timofte and Rama Krishna Gorthi and Richard Everson and Ruize Han and Ruohan Zhang and Shan You and Shao-Chuan Zhao and Shengwei Zhao and Shihu Li and Shikun Li and Shiming Ge and Shuai Bai and Shuosen Guan and Tengfei Xing and Tianyang Xu and Tianyu Yang and Ting Zhang and Tomas Vojír and Wei Feng and Weiming Hu and Weizhao Wang and Wenjie Tang and Wenjun Zeng and Wenyu Liu and Xi Chen and Xi Qiu and Xiang Bai and Xiao-Jun Wu and Xiaoyun Yang and Xier Chen and Xin Li and Xing Sun and Xingyu Chen and Xinmei Tian and Xu Tang and Xue-Feng Zhu and Yan Huang and Yanan Chen and Yanchao Lian and Yang Gu and Yang Liu and Yanjie Chen and Yi Zhang and Yinda Xu and Yingming Wang and Yingping Li and Yu Zhou and Yuan Dong and Yufei Xu and Yunhua Zhang and Yunkun Li and Zeyu Wang Zhao Luo and Zhaoliang Zhang and Zhen-Hua Feng and Zhenyu He and Zhichao Song and Zhihao Chen and Zhipeng Zhang and Zhirong Wu and Zhiwei Xiong and Zhongjian Huang and Zhu Teng and Zihan Ni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081053390&doi=10.1109%2fICCVW.2019.00276&partnerID=40&md5=53c67ff1e37467c90f91d3ed940ec67d},
doi = {10.1109/ICCVW.2019.00276},
year = {2019},
date = {2019-01-01},
journal = {Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019},
pages = {2206 – 2241},
note = {Cited by: 388; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Marco Zamprogno; Marco Passon; Niki Martinel; Giuseppe Serra; Giuseppe Lancioni; Christian Micheloni; Carlo Tasso; Gian Luca Foresti
Video-based convolutional attention for person re-identification Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11751 LNCS, pp. 3 – 14, 2019, (Cited by: 2).
@article{Zamprogno20193,
title = {Video-based convolutional attention for person re-identification},
author = {Marco Zamprogno and Marco Passon and Niki Martinel and Giuseppe Serra and Giuseppe Lancioni and Christian Micheloni and Carlo Tasso and Gian Luca Foresti},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072982223&doi=10.1007%2f978-3-030-30642-7_1&partnerID=40&md5=b86cf67987ab6f3312cf333fec231042},
doi = {10.1007/978-3-030-30642-7_1},
year = {2019},
date = {2019-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11751 LNCS},
pages = {3 – 14},
note = {Cited by: 2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Enkhtogtokh Togootogtokh; Sunan Huang; Wai Lun Leong; Rodney Teo Swee Huat; Gian Luca Foresti; Christian Micheloni; Niki Maritnel
An efficient artificial intelligence framework for UAV systems Conference
2019, (Cited by: 4).
@conference{Togootogtokh201947,
title = {An efficient artificial intelligence framework for UAV systems},
author = {Enkhtogtokh Togootogtokh and Sunan Huang and Wai Lun Leong and Rodney Teo Swee Huat and Gian Luca Foresti and Christian Micheloni and Niki Maritnel},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083469275&doi=10.1109%2fUbi-Media.2019.00018&partnerID=40&md5=47c7a83f3fb071cf2a71f22d9b283a1d},
doi = {10.1109/Ubi-Media.2019.00018},
year = {2019},
date = {2019-01-01},
journal = {Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019},
pages = {47 – 53},
note = {Cited by: 4},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Giuseppe Lisanti; Niki Martinel; Christian Micheloni; Alberto Del Bimbo; Gian Luca Foresti
From person to group re-identification via unsupervised transfer of sparse features Journal Article
In: Image and Vision Computing, vol. 83-84, pp. 29 – 38, 2019, (Cited by: 7).
@article{Lisanti201929,
title = {From person to group re-identification via unsupervised transfer of sparse features},
author = {Giuseppe Lisanti and Niki Martinel and Christian Micheloni and Alberto Del Bimbo and Gian Luca Foresti},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063631212&doi=10.1016%2fj.imavis.2019.02.009&partnerID=40&md5=006f90e4bc8f268365b5e14c34e00840},
doi = {10.1016/j.imavis.2019.02.009},
year = {2019},
date = {2019-01-01},
journal = {Image and Vision Computing},
volume = {83-84},
pages = {29 – 38},
note = {Cited by: 7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Niki Martinel; Gian Luca Foresti; Christian Micheloni
Distributed person re-identification through network-wise rank fusion consensus Journal Article
In: Pattern Recognition Letters, vol. 124, pp. 63 – 73, 2019, (Cited by: 3).
@article{Martinel201963,
title = {Distributed person re-identification through network-wise rank fusion consensus},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061076865&doi=10.1016%2fj.patrec.2018.12.015&partnerID=40&md5=0f83f72254bb8f08d32facc541823db9},
doi = {10.1016/j.patrec.2018.12.015},
year = {2019},
date = {2019-01-01},
journal = {Pattern Recognition Letters},
volume = {124},
pages = {63 – 73},
note = {Cited by: 3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Matteo Dunnhofer; Niki Martinel; Gian Luca Foresti; Christian Micheloni
Visual tracking by means of deep reinforcement learning and an expert demonstrator Conference
2019, (Cited by: 30; All Open Access, Green Open Access).
@conference{Dunnhofer20192290,
title = {Visual tracking by means of deep reinforcement learning and an expert demonstrator},
author = {Matteo Dunnhofer and Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082487303&doi=10.1109%2fICCVW.2019.00282&partnerID=40&md5=2bc073b8e1add96b1cbb084a7c4726f8},
doi = {10.1109/ICCVW.2019.00282},
year = {2019},
date = {2019-01-01},
journal = {Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019},
pages = {2290 – 2299},
note = {Cited by: 30; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Niki Martinel; Gian Luca Foresti; Christian Micheloni
Aggregating deep pyramidal representations for person re-identification Conference
vol. 2019-June, 2019, (Cited by: 50; All Open Access, Green Open Access).
@conference{Martinel20191544,
title = {Aggregating deep pyramidal representations for person re-identification},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073390180&doi=10.1109%2fCVPRW.2019.00196&partnerID=40&md5=79fca3d0a20559e33e506226379ca748},
doi = {10.1109/CVPRW.2019.00196},
year = {2019},
date = {2019-01-01},
journal = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
volume = {2019-June},
pages = {1544 – 1554},
note = {Cited by: 50; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rita Pucci; Christian Micheloni; Vito Roberto; Gian Luca Foresti; Niki Martinel
An exploration of the interaction between capsules with resnetcaps models Conference
2019, (Cited by: 2).
@conference{Pucci2019b,
title = {An exploration of the interaction between capsules with resnetcaps models},
author = {Rita Pucci and Christian Micheloni and Vito Roberto and Gian Luca Foresti and Niki Martinel},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073320003&doi=10.1145%2f3349801.3349804&partnerID=40&md5=a6518724d2c9f8f782e18b443adebf02},
doi = {10.1145/3349801.3349804},
year = {2019},
date = {2019-01-01},
journal = {ACM International Conference Proceeding Series},
note = {Cited by: 2},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Rao Muhammad Umer; Gian Luca Foresti; Christian Micheloni
Deep super-resolution network for single image super-resolution with realistic degradations Conference
2019, (Cited by: 4; All Open Access, Green Open Access).
@conference{Umer2019,
title = {Deep super-resolution network for single image super-resolution with realistic degradations},
author = {Rao Muhammad Umer and Gian Luca Foresti and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073361327&doi=10.1145%2f3349801.3349823&partnerID=40&md5=fc5bc2e0c2d7cc051efb525484fb05cd},
doi = {10.1145/3349801.3349823},
year = {2019},
date = {2019-01-01},
journal = {ACM International Conference Proceeding Series},
note = {Cited by: 4; All Open Access, Green Open Access},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2018
Sunan Huang; Rodney Swee Huat Teo; William Wai Lun Leong; Niki Martinel; Gian Luca Forest; Christian Micheloni
Coverage Control of Multiple Unmanned Aerial Vehicles: A Short Review Journal Article
In: Unmanned Systems, vol. 6, no. 2, pp. 131 – 144, 2018, (Cited by: 32).
@article{Huang2018131,
title = {Coverage Control of Multiple Unmanned Aerial Vehicles: A Short Review},
author = {Sunan Huang and Rodney Swee Huat Teo and William Wai Lun Leong and Niki Martinel and Gian Luca Forest and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048094399&doi=10.1142%2fS2301385018400046&partnerID=40&md5=97ce3e2bc7a09eb74e716f6796285ee1},
doi = {10.1142/S2301385018400046},
year = {2018},
date = {2018-01-01},
journal = {Unmanned Systems},
volume = {6},
number = {2},
pages = {131 – 144},
note = {Cited by: 32},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Matteo Chini; Niki Martinel; Matteo Dunnhofer; Carlo Ceschia; Christian Micheloni
Unsupervised smoke detection in normally smoking environments Conference
2018, (Cited by: 0).
@conference{Chini2018b,
title = {Unsupervised smoke detection in normally smoking environments},
author = {Matteo Chini and Niki Martinel and Matteo Dunnhofer and Carlo Ceschia and Christian Micheloni},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056646525&doi=10.1145%2f3243394.3243699&partnerID=40&md5=c9af07aaad1f4c128bb4e145d6463412},
doi = {10.1145/3243394.3243699},
year = {2018},
date = {2018-01-01},
journal = {ACM International Conference Proceeding Series},
note = {Cited by: 0},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Sunan Huang; Rodney Teo; William Leong; Niki Martinel; Gian Luca Foresti; Christian Micheloni
Coverage Control of Multiple Unmanned Aerial Vehicles: A Short Review Journal Article
In: Unmanned Systems, vol. 6, no. 2, pp. 131––144, 2018.
@article{Huang2018,
title = {Coverage Control of Multiple Unmanned Aerial Vehicles: A Short Review},
author = {Sunan Huang and Rodney Teo and William Leong and Niki Martinel and Gian Luca Foresti and Christian Micheloni},
doi = {10.1142/S2301385018400046},
year = {2018},
date = {2018-01-01},
journal = {Unmanned Systems},
volume = {6},
number = {2},
pages = {131----144},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Niki Martinel; Gian Luca Foresti; Christian Micheloni
Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification Proceedings Article
In: International Conference on Distributed Smart Cameras, 2018, ISBN: 9781450365116.
@inproceedings{Martinel2018,
title = {Unsupervised Hashing with Neural Trees for Image Retrieval and Person Re-Identification},
author = {Niki Martinel and Gian Luca Foresti and Christian Micheloni},
url = {https://dl.acm.org/doi/10.1145/3243394.3243687},
isbn = {9781450365116},
year = {2018},
date = {2018-01-01},
booktitle = {International Conference on Distributed Smart Cameras},
abstract = {Recent vision studies have shown that learning compact codes is of paramount importance to improve the massive data processing while significantly reducing storage footprints. This has recently yielded to a surge of effort in learning compact and robust hash functions for image retrieval tasks. The majority of the existing lit- erature has been devoted to the exploration of deep hash functions, typically under supervised scenarios. Unsupervised hashing meth- ods have been less attractive due to the their difficulty in achieving satisfactory performance for the same objective. In this work, we propose a simple yet effective unsupervised hashing framework, which exploits the powerful visual representation capabilities of deep architectures and combines this within a tree structure in- volving a multi-path scheme. The key advantage of the proposed method is the ability to bring in a divide-and-conquer approach to reduce the complexity of the classification problem at each node of the tree without the need of labeled data. To validate the proposed solution, experimental results on two benchmark datasets for image retrieval and person re-identification have been computed.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}